Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

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Development of an internet-accessible tool for the identification of hydrologically sensitive areas (HSA’s) and the calculation of New York State phosphorous indices Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

description

Development of an internet-accessible tool for the identification of hydrologically sensitive areas (HSA’s) and the calculation of New York State phosphorous indices. Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis. Introduction. - PowerPoint PPT Presentation

Transcript of Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

Page 1: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

Development of an internet-accessible tool for the identification of hydrologically sensitive areas (HSA’s) and the calculation of New York State

phosphorous indicesHelen Dahlke, Daniel R. Fuka, Zachary M. Easton

Tammo S. Steenhuis

Page 2: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

Introduction

• hydrologically sensitive areas (HSA‘s) are preferred flowpath in the landscapes of the humid Northeast of the US

• connect mostly agricultural land to streams and lakes

• need of estimation of the risk of nutrient loads in surface waters: CNMP planner help producer to identify high risk transport areas when applying manure

• current tools use a fixed distance setting from a watercourse and/or soil wetness indicators

• need of tools that consider the landscape position of saturation areas and their spatial-temporal dynamics

• tool must be user-friendly and easy accessible

Page 3: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

study areas Salmon Creek: 227 km² (87.7 mi²)

Fall Creek: 326 km² (126 mi²)

Six Mile Creek: 102 km² (39 mi²)

Page 4: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

model approach

rainfall ETIf rainfall > ET,

soil wets upIf rainfall > soil storage,

excess overland flow

• flowaccumulation• slope• soil depth• soil hydraulic

conductivity

SPPQe

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2

DEM

DK

a

s

tanln

Soil topographic wetness index

• Calculation of the fractional area of the watershed prone to saturation

terr

ain

anal

ysis

hydr

olog

y

Page 5: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

Google Earth-based HSA-tool

• Google Earth (http://earth.google.com) is free software that provides a virtual globe program

• it maps earth by superimposition of satellite images, aerial phorographs and GIS maps over a 3D globe

• user can program their own data overlays of vector or raster data using the Keyhole Markup Language (KML)

• maps can be animated based on a time stemp ideal for time series application such as simple hydrological models

Page 6: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

realization of the HSA-tool in Google Earth

Soil topographic wetness index [Geo-Tiff]

Soil topographic wetness index [GRID]

• reclassification into 255 classes of equal area• export into Geo-Tiff

HSAimage [png]

modelled fractional area of HSA‘s [table]

• conversion to web-image

*.png file• 1% incremental area

images KML-file for Google Earth

Page 7: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

realization of the HSA-tool in Google Earthcontrol bar for timeseries simulation

loaded images of HSA‘s for each day of simulation

Six Mile Creek

Page 8: Helen Dahlke, Daniel R. Fuka, Zachary M. Easton Tammo S. Steenhuis

realization of the HSA-tool in Google Earth

daily estimated level of phosphorous load is displayd at the outlet of the catchment

http://vsa-hydro.cornell.drfuka.org/townbrook/1998.kml

http://vsa-hydro.cornell.drfuka.org/sixmile/1998-05.kml

http://128.253.239.23/Website/Imagetest/viewer.htm